Hybrid Data Architecture for Use Within a Healthcare Industry Optimized Cognitive Environment

Abstract

A data architecture for use within a cognitive information processing system environment comprising: a plurality of data sources, the plurality of data sources comprising a public data source and a private data source, the public data source comprising publicly available healthcare information, the private data source comprising privately managed, company specific healthcare information; and, a cognitive data management module, the cognitive data management module accessing information from the plurality of data sources and providing the information to an inference and learning system.

Description

BACKGROUND OF THE INVENTION[0001]1. Field of the Invention[0002]The present invention relates in general to the field of computers and similar technologies, and in particular to software utilized in this field. Still more particularly, it relates to a method, system and computer-usable medium for performing cognitive inference and learning operations.[0003]2. Description of the Related Art[0004]In general, “big data” refers to a collection of datasets so large and complex that they become difficult to process using typical database management tools and traditional data processing approaches. These datasets can originate from a wide variety of sources, including computer systems, mobile devices, credit card transactions, television broadcasts, and medical equipment, as well as infrastructures associated with cities, sensor-equipped buildings and factories, and transportation systems. Challenges commonly associated with big data, which may be a combination of structured, unstructured,...

AI Technical Summary

Benefits of technology

The patent describes a system that uses a combination of public and private data to create a data architecture for a cognitive information processing system. This system can access and analyze information from multiple sources, including healthcare data, to improve diagnostics and treatment recommendations. The system can also use these data to develop a learning system that can continuously improve and adapt over time.

Problems solved by technology

In general, “big data” refers to a collection of datasets so large and complex that they become difficult to process using typical database management tools and traditional data processing approaches.

In combination, these challenges make it difficult to efficiently process large quantities of data within tolerable time intervals.

An example of data that is being collected, but is difficult to access at the right time and place, includes data associated with the side effects of certain spider bites while on a camping trip.

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